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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 26 Sep 2013 04:37:01 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Sep/26/t1380184704duzaorzkgnw8h3c.htm/, Retrieved Mon, 29 Apr 2024 13:01:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212030, Retrieved Mon, 29 Apr 2024 13:01:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2013-09-21 09:00:14] [bfb8fbb01a017c6e50d0d51f3d94fdb7]
- RMP     [Histogram] [] [2013-09-26 08:37:01] [43b132fa6864a311b34d1147ccf52151] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9
13
12
5
13
11
8
8
8
8
0
3
0
-1
-1
-4
1
-1
0
-1
6
0
-3
-3
4
1
0
-4
-2
3
2
5
6
6
3
4
7
5
6
1
3
6
0
3
4
7
6
6
6
6
2
2
2
3
-1
-4
4
5
3
-1
-4
0
-1
-1
3
2
-4
-3
-1
3
-2
-10

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212030&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212030&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-10,-8[-910.0138890.0138890.006944
[-8,-6[-7000.0138890
[-6,-4[-5000.0138890
[-4,-2[-380.1111110.1250.055556
[-2,0[-1110.1527780.2777780.076389
[0,2[1100.1388890.4166670.069444
[2,4[3140.1944440.6111110.097222
[4,6[580.1111110.7222220.055556
[6,8[7110.1527780.8750.076389
[8,10[950.0694440.9444440.034722
[10,12[1110.0138890.9583330.006944
[12,14]1330.04166710.020833

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-10,-8[ & -9 & 1 & 0.013889 & 0.013889 & 0.006944 \tabularnewline
[-8,-6[ & -7 & 0 & 0 & 0.013889 & 0 \tabularnewline
[-6,-4[ & -5 & 0 & 0 & 0.013889 & 0 \tabularnewline
[-4,-2[ & -3 & 8 & 0.111111 & 0.125 & 0.055556 \tabularnewline
[-2,0[ & -1 & 11 & 0.152778 & 0.277778 & 0.076389 \tabularnewline
[0,2[ & 1 & 10 & 0.138889 & 0.416667 & 0.069444 \tabularnewline
[2,4[ & 3 & 14 & 0.194444 & 0.611111 & 0.097222 \tabularnewline
[4,6[ & 5 & 8 & 0.111111 & 0.722222 & 0.055556 \tabularnewline
[6,8[ & 7 & 11 & 0.152778 & 0.875 & 0.076389 \tabularnewline
[8,10[ & 9 & 5 & 0.069444 & 0.944444 & 0.034722 \tabularnewline
[10,12[ & 11 & 1 & 0.013889 & 0.958333 & 0.006944 \tabularnewline
[12,14] & 13 & 3 & 0.041667 & 1 & 0.020833 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212030&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][-10,-8[[/C][C]-9[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.006944[/C][/ROW]
[ROW][C][-8,-6[[/C][C]-7[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][-6,-4[[/C][C]-5[/C][C]0[/C][C]0[/C][C]0.013889[/C][C]0[/C][/ROW]
[ROW][C][-4,-2[[/C][C]-3[/C][C]8[/C][C]0.111111[/C][C]0.125[/C][C]0.055556[/C][/ROW]
[ROW][C][-2,0[[/C][C]-1[/C][C]11[/C][C]0.152778[/C][C]0.277778[/C][C]0.076389[/C][/ROW]
[ROW][C][0,2[[/C][C]1[/C][C]10[/C][C]0.138889[/C][C]0.416667[/C][C]0.069444[/C][/ROW]
[ROW][C][2,4[[/C][C]3[/C][C]14[/C][C]0.194444[/C][C]0.611111[/C][C]0.097222[/C][/ROW]
[ROW][C][4,6[[/C][C]5[/C][C]8[/C][C]0.111111[/C][C]0.722222[/C][C]0.055556[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]11[/C][C]0.152778[/C][C]0.875[/C][C]0.076389[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]5[/C][C]0.069444[/C][C]0.944444[/C][C]0.034722[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.006944[/C][/ROW]
[ROW][C][12,14][/C][C]13[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]0.020833[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212030&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[-10,-8[-910.0138890.0138890.006944
[-8,-6[-7000.0138890
[-6,-4[-5000.0138890
[-4,-2[-380.1111110.1250.055556
[-2,0[-1110.1527780.2777780.076389
[0,2[1100.1388890.4166670.069444
[2,4[3140.1944440.6111110.097222
[4,6[580.1111110.7222220.055556
[6,8[7110.1527780.8750.076389
[8,10[950.0694440.9444440.034722
[10,12[1110.0138890.9583330.006944
[12,14]1330.04166710.020833


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '3'
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}